| Fitting multivariate polynomial growth curves in two-period crossover designs. | |
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MedLine Citation:
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PMID: 8047745 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We discuss the statistical analysis of data from two clinical trials using crossover designs. In both studies, response was observed repeatedly over time in each treatment period. The first study involves repeated measurements of a single response variable whereas the second involves bivariate response. Methods are described for fitting polynomial growth curves to achieve data reduction in a two-stage approach to the analysis of crossover designs. Thus, a multivariate parametric analysis frequently can be conducted even when the sample sizes are somewhat small as is the case in many crossover designs. Hypotheses that are usually of interest in crossover designs can be tested in the second stage of the analysis. Methods for testing the multivariate general linear hypothesis as a basis for statistical inference in such problems are discussed. |
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Authors:
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J M Grender; W D Johnson |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Statistics in medicine Volume: 13 ISSN: 0277-6715 ISO Abbreviation: Stat Med Publication Date: 1994 May |
Date Detail:
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Created Date: 1994-08-30 Completed Date: 1994-08-30 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8215016 Medline TA: Stat Med Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 931-43 Citation Subset: IM |
Affiliation:
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Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans 70112-1393. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Allium Clinical Trials as Topic / statistics & numerical data* Collagen / administration & dosage Coronary Disease / blood, diet therapy Humans Intraocular Pressure / drug effects Multivariate Analysis* Ophthalmic Solutions Triglycerides / blood Vehicles |
| Chemical | |
Reg. No./Substance:
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0/Ophthalmic Solutions; 0/Triglycerides; 0/Vehicles; 9007-34-5/Collagen |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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